4.2. Results on public NLP datasets 主要得出以下结论: InstructGPT models show improvements in truthfulness over GPT-3:在TruthfulQA数据集上,采用人工评估,PPO模型的“truthfulness and informativeness”指标更好,尽管我们并没有在指令中告诉模型要阐述事实 InstructGPT shows small improvements in toxicity over GP...
BERTGEN extends the VL-BERT model by making it multilingual, inheriting multilingual pretraining from multilingual BERT (https://github.com/google-research/bert/blob/master/multilingual.md. The BERTGEN model produces multilingual, multimodal embeddings usede for visual-linguistic generation tasks. ...
nlpnatural-language-processingweak-supervisiondatasetnamed-entity-recognitionself-trainingnerbertpre-trainedweakly-supervised-learningdistant-supervisionweakly-supervisedfine-tuningrobertaopen-domain UpdatedJun 2, 2021 Python A repository contains more than 12 common statistical machine learning algorithm implementations...
focusing on either theoretical results ), small synthetic domains , or training ML models on public NLP datasets . Our work provides grounding for alignment research in AI systems that are being used in production in the real world with customers.10 This...
In other domains, such as biomedical modalities, where per-sample tasks are even more prevalent than intra-sample tasks compared with NLP, the importance of this geometry only increases. Despite this importance, research into mechanisms to induce explicit, deep structural constraints in is limited. ...
deep bidirectional transformers for language understanding. In NAACL, pages 4171–4186. 5.2 Github 地址: https://github.com/google-research/bert 5.3 GLUE基准包括以下数据集,这些数据集的描述最初在【8】Wang et al. (2018a): MNLI多流派自然语言推断是一项大规模、众包的隐含分类任务(【5】Williams ...
Aug-imodels provide a promising direction towards future methods that reap the benefits of both LLMs and transparent models in NLP: high accuracy along with interpretability/efficiency. This potentially opens the door for introducing LLM-augmented models in high-stakes domains, such as medical decisio...
Research on Automatic Tagging of Parts of Speech for Tibetan Texts Based on the Condition of Random Fields Itâs a basic work for Tibetan information processing to tag the Tibetan parts of speech,the results can be used in machine translation, speech s... ZQ Wu,HZ Yu,SH Wan - ...
Similar to NLP, sparse attention mechanisms have been explored to alleviate this issue for visual synthesis. [31, 44] split the visual data into different parts (or blocks) and then performed block-wise sparse attention for the synthesis tasks. However, such methods dealt with different blocks ...
research and innovation in the LLM industry. The preparation of a natural language processing (NLP) dataset abounds with share-nothing parallelism opportunities. In other words, there are steps that can be applied to units of works—source files, paragraphs, sentences, words—without requiring ...